Results 11 to 20 of about 18,152,105 (265)

Applying Fuzzy Inference and Machine Learning Methods for Prediction with a Small Dataset: A Case Study for Predicting the Consequences of Oil Spills on a Ground Environment

Applied Sciences, 2022
Applying machine learning (ML) and fuzzy inference systems (FIS) requires large datasets to obtain more accurate predictions. However, in the cases of oil spills on ground environments, only small datasets are available.
Anastasiya Burmakova, Diana Kalibatienė
doaj   +1 more source

Application of the program agent, that uses realty ontology, as the data source for the decision support system

Technological and Economic Development of Economy, 2007
For a better operation efficiency of the knowledge society, fast and qualitative information reception is an important factor that determines the organisational success in a competitive contest. It is not enough to use the Internet search systems such as
Darius Jurkevičius, Algirdas Laukaitis
doaj   +1 more source

Security Ontology OntoSecRPA for Robotic Process Automation Domain

Applied Sciences, 2023
Robotic process automation (RPA)* based on the use of software robots has proven to be one of the most demanded technologies to emerge in recent years used for automating daily IT routines in many sectors, such as banking and finance.
Anastasiya Kurylets, Nikolaj Goranin
doaj   +1 more source

Timely determining and preventing conflict situations between investors and third parties: some observations from Lithuania

International Journal of Strategic Property Management, 2013
The article analyses the possible influence of third-party rights infringed during construction planning on the implementation of an investment project. It analyses the process for defence of third party rights infringed during territorial planning.
Olga Regina Šostak, Daiva Makutėnienė
doaj   +1 more source

Interdependence of fundamental and applied research in material science [PDF]

Science of Sintering, 2011
Development of materials with desirable properties essentially depends on realization of interdependence: natural science ⇔ technical sciences. Taking this into account, in order to develop of new advanced materials it is essential to determine ...
Kosanović D., Maričić A., Mitrović N., Ristić M.M.   +3 more
doaj   +1 more source

FAIR-VID: A Multimodal Pre-Processing Pipeline for Student Application Analysis

Applied Sciences
The shift toward remote and automated admission processes in higher education introduces new challenges, including evaluator subjectivity and risks of applicant fraud.
Algirdas Laukaitis, Diana Kalibatienė, Dovilė Jodenytė, Kęstutis Normantas, Julius Jancevičius, Mindaugas Jankauskas, Artūras Serackis   +6 more
doaj   +1 more source

Fuzzy model for determination and assessment of groundwater quality in the city of Zrenjanin, Serbia [PDF]

Hemijska Industrija, 2015
The application of the fuzzy logic for determination and assessment of the chemical quality of groundwater for drinking purposes in the city of Zrenjanin is presented. The degree of certainty and uncertainties are one of the problems in the most
Kiurski-Milosević Jelena Ž., Vojinović-Miloradov Mirjana B., Ralević Nebojša M.   +2 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Facilitating Robot Learning in Virtual Environments: A Deep Reinforcement Learning Framework

Applied Sciences
Deep reinforcement learning algorithms have demonstrated significant potential in showcasing robotic capabilities within virtual environments. However, applying DRL for practical robot development in realistic simulators like Webots remains challenging ...
Algirdas Laukaitis, Andrej Šareiko, Dalius Mažeika   +2 more
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source